package.json

{
  "name": "auto-optimize",
  "version": "1.0.0",
  "description": "AI agent teams race to approximate a mystery function using different embedding models for paper retrieval",
  "main": "index.js",
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start",
    "pre-embed": "tsx src/scripts/pre-embed.ts",
    "test-eval": "tsx src/scripts/test-eval.ts"
  },
  "keywords": [],
  "author": "",
  "license": "Apache-2.0",
  "dependencies": {
    "@ai-sdk/anthropic": "^3.0.68",
    "@ai-sdk/google": "^3.0.60",
    "@ai-sdk/openai": "^3.0.52",
    "@mastra/core": "^1.24.0",
    "@types/node": "^25.5.2",
    "@types/react": "^19.2.14",
    "@types/react-dom": "^19.2.3",
    "ai": "^6.0.154",
    "dotenv": "^17.4.1",
    "next": "^16.2.3",
    "react": "^19.2.5",
    "react-dom": "^19.2.5",
    "tsx": "^4.21.0",
    "typescript": "^6.0.2",
    "zeroentropy-ai-provider": "github:zeroentropy-ai/zeroentropy-ai-provider",
    "zod": "^3.25.76"
  }
}